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市场调查报告书
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1866412

全球数位农业市场-2025-2030年预测

Global Digital Agriculture Market - Forecasts from 2025 to 2030

出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 144 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

全球数位农业市场预计将从 2025 年的 214.05 亿美元成长到 2030 年的 359.06 亿美元,复合年增长率达到 10.90%。

由于人们对粮食安全的日益关注以及对提高作物产量和健康水平的需求,全球数位农业市场预计将迎来强劲成长。数位农业透过整合物联网、人工智慧和卫星作物监测等先进技术,优化农民和研究人员等相关人员的农业实践。推动市场成长的因素包括消费者对更健康、更永续的食品和饲料的需求不断增长,以及减少化学品使用的压力。对精密农业技术的投资正在增加,从而支持更高的产量和更有效率的资源利用。挑战包括高昂的实施成本以及发展中地区技术普及程度有限,这可能会阻碍数位农业的广泛应用。

市场驱动因素

人们对作物产量和健康的日益关注是推动这一趋势的关键因素。随着消费者越来越注重营养和永续的食品选择,农民面临着在减少化学品使用的情况下提高产量的压力,这促使人们对配备GPS的拖拉机等物联网工具的需求不断增长。这些工具能够提高播种效率,节省燃料和时间。利用卫星影像进行即时植被指数分析的作物监测系统因其可靠性、数据一致性和覆盖范围广而日益普及。这些系统使农民能够及早发现作物健康问题并采取纠正措施,从而提高产量和农场的永续性。到2050年,全球人口预计将达到97亿(联合国粮食及农业组织),这进一步推动了全球粮食安全工作,也进一步增强了对数位化农业解决方案的需求。

市场限制

采用物联网设备和人工智慧系统等先进技术的成本高昂,尤其对于开发中地区的小规模农户而言,构成了一大障碍。这些地区基础设施和技术专长的匮乏进一步限制了技术的普及。此外,资料隐私问题以及将多种技术整合到一个统一系统中的复杂性也可能减缓市场成长。

目录

第一章执行摘要

第二章市场概述

  • 市场概览
  • 市场定义
  • 分析范围
  • 市场区隔

第三章 商业情境

  • 市场驱动因素
  • 市场限制
  • 市场机会
  • 波特五力分析
  • 产业价值链分析
  • 政策和法规
  • 策略建议

第四章 技术展望

第五章 全球数位农业市场(按类型划分)

  • 介绍
  • 作物监测
  • 人工智慧(AI)
  • 精密农业

6. 全球数位农业市场(按应用划分)

  • 介绍
  • 耕地测绘
  • 作物巡查
  • 天气追踪
  • 无人机分析
  • 财务管理
  • 农场库存管理
  • 其他的

7. 全球数位农业市场(按地区划分)

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 南美洲
    • 巴西
    • 阿根廷
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 西班牙
    • 其他的
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 其他的
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 印尼
    • 泰国
    • 其他的

第八章 竞争格局与分析

  • 主要企业和策略分析
  • 市占率分析
  • 企业合併、协议、商业合作
  • 竞争对手仪錶板

第九章:公司简介

  • IBM Corporation
  • Microsoft Corporation
  • HummingBird Technologies
  • AGCO Corporation
  • Gamaya SA
  • Bayer CropScience AG
  • Deere & Company
  • Easytosee Agtech
  • Small Robot Company
  • Raven Industries

第十章附录

  • 货币
  • 先决条件
  • 基准年和预测年时间表
  • 相关人员的主要收益
  • 分析方法
  • 简称
简介目录
Product Code: KSI061613955

The Global Digital Agriculture Market is set to soar from USD 21.405 billion in 2025 to USD 35.906 billion by 2030, achieving a 10.90% CAGR.

The global digital agriculture market is set for robust growth, driven by increasing concerns over food security and the need for enhanced crop productivity and health. Digital agriculture integrates advanced technologies, such as IoT, AI, and satellite-based crop monitoring, into cohesive systems to optimize farming practices for stakeholders like farmers and researchers. The market is fueled by rising consumer demand for healthier, sustainable food and animal feed, alongside the pressure to reduce chemical usage. Investments in precision farming technologies are growing, supporting higher yields and efficient resource use. Challenges include high implementation costs and limited technological access in developing regions, which may hinder widespread adoption.

Market Drivers

Rising concerns about crop productivity and health are key drivers, as consumer awareness of nutritional and sustainable food options increases. Farmers face pressure to produce more with fewer chemicals, boosting demand for IoT tools like GPS-enabled tractors, which enhance planting efficiency and conserve fuel and time. Crop monitoring systems, leveraging satellite imagery for real-time vegetation index analysis, are gaining traction for their reliability, consistent data, and wide coverage. These systems enable farmers to detect crop health issues early and take corrective actions, improving yields and farm sustainability. The global push for food security, with a projected population of 9.7 billion by 2050 (FAO), further amplifies the need for digital agriculture solutions.

Market Constraints

High costs of deploying advanced technologies, such as IoT devices and AI systems, pose barriers, particularly for small-scale farmers in developing regions. Limited infrastructure and technical expertise in these areas further restrict adoption. Additionally, data privacy concerns and the complexity of integrating multiple technologies into cohesive systems may slow market growth.

Market Segmentation

The digital agriculture market is segmented by technology, application, and geography. Technologies include IoT, AI, satellite monitoring, and precision farming tools, with IoT and satellite systems leading due to their impact on efficiency. Applications cover crop monitoring, soil management, and yield optimization, with crop monitoring dominating due to its role in real-time farm management. Geographically, the market spans North America, Europe, Asia Pacific, South America, and the Middle East and Africa, with growth driven by regional agricultural priorities and technological adoption.

Geographical Outlook

North America, particularly the United States, is expected to hold a significant market share, driven by substantial investments in precision farming and a robust agricultural sector. The Asia Pacific region is poised for rapid growth, fueled by population growth, rising food demand, and increasing adoption of digital tools in countries like China and India. Europe, South America, and the Middle East and Africa are anticipated to see steady growth as digital infrastructure expands.

Competitive Landscape

Key players are investing in IoT, AI, and satellite-based solutions to enhance farm productivity. Companies focus on partnerships and product innovations to deliver comprehensive digital farming solutions, addressing crop health and yield challenges. Strategic collaborations with technology providers strengthen market positions.

Opportunities and Challenges

Opportunities lie in expanding IoT and AI applications to meet global food security needs and targeting high-growth regions with supportive policies. Challenges include addressing cost barriers and improving technological access in developing markets. Industry experts should prioritize scalable, cost-effective solutions and farmer education to drive the digital agriculture market's growth in a food-security-focused landscape.

Key Benefits of this Report:

  • Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, and other sub-segments.
  • Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
  • Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape future market developments.
  • Actionable Recommendations: Utilize the insights to exercise strategic decisions to uncover new business streams and revenues in a dynamic environment.
  • Caters to a Wide Audience: Beneficial and cost-effective for startups, research institutions, consultants, SMEs, and large enterprises.

What do businesses use our reports for?

Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

  • Historical data from 2022 to 2024 & forecast data from 2025 to 2030
  • Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, and Trend Analysis
  • Competitive Positioning, Strategies, and Market Share Analysis
  • Revenue Growth and Forecast Assessment of segments and regions including countries
  • Company Profiling (Strategies, Products, Financial Information, and Key Developments among others.

The Digital Agriculture Market is analyzed into the following segments:

By Type

  • Crop Monitoring
  • Artificial Intelligence
  • Precision Farming

By Application

  • Field Mapping
  • Crop Scouting
  • Weather Tracking
  • Drone Analytics
  • Financial Management
  • Farm Inventory Management
  • Others

By Geography

  • North America
  • USA
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Others
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. EXECUTIVE SUMMARY

2. MARKET SNAPSHOT

  • 2.1. Market Overview
  • 2.2. Market Definition
  • 2.3. Scope of the Study
  • 2.4. Market Segmentation

3. BUSINESS LANDSCAPE

  • 3.1. Market Drivers
  • 3.2. Market Restraints
  • 3.3. Market Opportunities
  • 3.4. Porter's Five Forces Analysis
  • 3.5. Industry Value Chain Analysis
  • 3.6. Policies and Regulations
  • 3.7. Strategic Recommendations

4. TECHNOLOGICAL OUTLOOK

5. GLOBAL DIGITAL AGRICULTURE MARKET BY TYPE

  • 5.1. Introduction
  • 5.2. Crop monitoring
  • 5.3. Artificial Intelligence
  • 5.4. Precision farming

6. GLOBAL DIGITAL AGRICULTURE MARKET BY APPLICATION

  • 6.1. Introduction
  • 6.2. Field Mapping
  • 6.3. Crop scouting
  • 6.4. Weather tracking
  • 6.5. Drone analytics
  • 6.6. Financial Management
  • 6.7. Farm inventory management
  • 6.8. Others

7. GLOBAL DIGITAL AGRICULTURE MARKET BY GEOGRAPHY

  • 7.1. Introduction
  • 7.2. North America
    • 7.2.1. USA
    • 7.2.2. Canada
    • 7.2.3. Mexico
  • 7.3. South America
    • 7.3.1. Brazil
    • 7.3.2. Argentina
    • 7.3.3. Others
  • 7.4. Europe
    • 7.4.1. Germany
    • 7.4.2. France
    • 7.4.3. United Kingdom
    • 7.4.4. Spain
    • 7.4.5. Others
  • 7.5. Middle East and Africa
    • 7.5.1. Saudi Arabia
    • 7.5.2. UAE
    • 7.5.3. Others
  • 7.6. Asia Pacific
    • 7.6.1. China
    • 7.6.2. India
    • 7.6.3. Japan
    • 7.6.4. South Korea
    • 7.6.5. Indonesia
    • 7.6.6. Thailand
    • 7.6.7. Others

8. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 8.1. Major Players and Strategy Analysis
  • 8.2. Market Share Analysis
  • 8.3. Mergers, Acquisitions, Agreements, and Collaborations
  • 8.4. Competitive Dashboard

9. COMPANY PROFILES

  • 9.1. IBM Corporation
  • 9.2. Microsoft Corporation
  • 9.3. HummingBird Technologies
  • 9.4. AGCO Corporation
  • 9.5. Gamaya SA
  • 9.6. Bayer CropScience AG
  • 9.7. Deere & Company
  • 9.8. Easytosee Agtech
  • 9.9. Small Robot Company
  • 9.10. Raven Industries

10. APPENDIX

  • 10.1. Currency
  • 10.2. Assumptions
  • 10.3. Base and Forecast Years Timeline
  • 10.4. Key benefits for the stakeholders
  • 10.5. Research Methodology
  • 10.6. Abbreviations